Skinfold Parameter as Predictor of Body Density for Undergraduate Female Students in a Nigeria University

Authors

  • Ojoawo Adesola Ojo Department of Medical Rehabilitation, Obafemi Awolowo University, lie-Ife
  • Onigbinde Tesilim Ayodele Department of Physical and Health Education, Obafemi Awolowo University, lie-Ife
  • Adeyanju Solomon Departments of Medical Rehabilitation, Obafemi Awolowo University, lie-Ife

DOI:

https://doi.org/10.60787/tnhj.v13i1.153

Keywords:

Body density, Skinfold thickness, Hydrostatic and underwater weighing, predictive equations, Nigeria

Abstract

Background: The purpose of this study was to determine if some selected skinfold parameters are visible in predicting body density (BD) of undergraduate female students of Obafemi Awolowo University, lie Ife.

Methods: Seventy five non- athletic female students, age ranged from 18 to 30 years old from Obafemi Awolowo University (OAU) lie Ife, Nigeria participated in the study. Underwater weight was measured using Hydrostatic Weighing (HSW) equipment and skinfold was measured with Lange skinfold calipers using standard protocol at chest, biceps, triceps, forearm, mid axillar, subscapular, abdomen, supra illiac, thigh and lateral calf. Body density (BD) was calculated with underwater weight and skinfold measurement using some established equations. Descriptive statistics and Pearson Moment Correlation coefficient was used to analyze the data collected.

Results: The result showed that BD by HSW had significant negative correlation with skinfold at chest (r = - .505, p < .001), biceps (r = -. 302, p < .05), midaxillar, (r = - .328, p < .05), thigh (r = -.353, p < .05), abdomen (r =- .290, p < .05) and suprailliac (r = -, 371, p< .001).

Conclusion: The study concluded that the equation derived from the study is appropriate to determine the BD of Nigerian women.

Downloads

Download data is not yet available.

References

Kadiri S. Tackling cardiovascular diseases in Africa. British Medical Journal 2005; 331:711-712.doi;10:11361/bmj.7519.711.

World Health Organization Report. Non communicable diseases and mental health. Integrated Management of Cardiovascular Risk. Report of a WHO meeting 2002; Geneva, 9 12 July.

Latiffah A.L, and P. Hanachi. To Investigate theRelationofHypertensionandAnthropometricMeasurementamongElderly in Malaysia. Journal of Applied Sciences2008;8:3963-3968.10.3923/jas.2008.3963.3968.

RodgersEllie.Calculatingwaistcircumference. http: // www health. yahoo. com/ ency/ healthwise / aa 2005;128700.

Reuters Health . Thick waist predicts blood pressureriskstudy.http://www.Waistcircumference 2005;

Deepika, M.L.N. Ranjith K, Rani VU, Ishaq M. Jahan P. Familial Background of Complex Diseases in PCOS Probands of South Indian Population. Asian Journal of Epidemiology2012;5:50-55.10.3923/aje.2012.50.55

Gill BK. Sandhu PK. Factor Analysis of Anthropometric,PhysiometricandMetabolic RiskTraits Associated with Cardiovascular Diseases in North Indian Punjabi Adults. Journal of Applied Sciences2011;11:2843-2848.10.3923/jas.2011.2843.2848

George A. Bray M.D. Evaluation of Obesity. Postgraduate Medicine. 2003; 14. 6. 1-12.

MahajanR.GuptaK,KapoorV.ASystematicAccountofPathogenesis,DiagnosisandPharmacotherapyofMetabolic Syndrome: Things We Need to Know.InternationalJournalofPharmacology2010;6:338-345.10.3923/ijp.2010.338.345

England A. Bjorge, T, Tverdal A, Sogaard A.J, Obesity in adolescence and adulthood and the risk of adulthood mortality. Epidemology 2004; 15. 79 85. Doi: 10. 1097/01. PMD: 14712150.

Freadman D.S, Khan L.K, Dietz W.H, SrinivasanS.R,andBerensonG.S,Relationshipofchildhoodobesitytocoronary heart disease risk factors in adulthood. The Bongolisa heart study. Pediatrics 2001;108: 712 718.

Lau,D.C,DouketisJ.D.MorrisonK.M,Hramiak I.M. Sharma A.M, Ur. E., Obesity in Canada. Clinical Practice guidelines on management and prevention of obesity in adults and children. CMAJ 2007;176, S1 S13 PMID 17420281.

Adeyemo A, Luke A, Cooper R, Wu X, Tayo B, Zhu X, Rotimi C, Bouzekri N, Ward R: A genome-wide scan for body mass index among Nigerian families. Obes Res 2003, 11(2):266-273.

WHO. Expert consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet; 2004; 157-163

British Heart Foundation: Diet, Physical ActivityandObesityStatistics.,2006[http://www.heartstats.org/datapage.asp?id=5749], Accessed 4 April,.

Flegal KM, Carroll MD, Ogden CL, Johnson CL: Prevalence and trends in obesity among US adults, 1999-2000. JAMA, 2002; 288:1723-1727.

Amoah AG. Obesity in adult residents of Accra, Ghana. Ethn Dis, 2003; 13(2 Suppl 2):S97-101.

Sodjinou R, Agueh V, Fayomi B, Delisle H: Obesity and cardio-metabolic risk factors in urban adults of Benin: relationship with socio-economic status, urbanization, and lifestyle patterns. BMC Public Health, 2008; 8:84.

Abubakari AR, Lauder W, Agyemang C, Jones M, Kirk A, Bhopal RS: Prevalence and time trends in obesity among adult West African populations: a meta analysis. Obes Rev, 2008; 9(4):297-311.

Ojofeitimi EO, Adeyeye AO, Fadiora AO, Kuteyi AO, Faborode TG, Adegbenro CA, Bakare OE, Setiloane K, Towobola KS: Awareness of obesity and its health hazard among women in a university community. PakistanJournalofNutrition,2007;6(5):502-505.

KolawoleW,SaniMU,YusufBO,Gbadamosi M, Gbadamosi A, Yandutse MI. Prevalence and determinants of obesity - a cross-sectional study of an adult Northern Nigerian population International Archives ofMedicine2011;4:101-5doi:10.1186/1755-7682-4-10

Kadiri S, Salako BL. Cardiovascular risk factors in middle aged Nigerians. East Afr Med J, 1997; 74(5):303-6

Kerksick C, Thomas A, Campbell B, Taylor L, Wilborn C, Marcello B, Roberts M, Pfau E, Grimstvedt M, Opusunju J. Effects of a popular exercise and weight loss program on weight loss, body composition, energy expenditure and health in obese women. Nutr Metab (Lond) 2009;6:23.

Evanswww.MedicalAdvisor.Org.Hydrostatic weighing Techniques 2005.

Ellis-Christensen Tricia. What is hydrostatic weighing? .http://www.hydrostaticweighing.com2007.

CollinsAnnes.Bodyfatcalculator.http://www.hydrostaticweighin.com//measuringbodycompositions 2007.

RezaY. McEntee E, McEntee M, Brines M. AnthropometricVariablesAccuratelyPredictDualEnergyX-RayAbsorptiometric-DerivedBodyComposition and Can Be Used to Screen for Diabetes. PLoS One 2011;6(9): e24017. doi:10.1371/journal.pone.0024017. PLoS One www.plosone.org

MarceloS,FilhoJF.NetoCSP. Development and validation of specific anthropometric equations to determine the body density of Brazilian Army military women. Rev Bras Med Esporte 2004; 10, (3) 147-151

JacksonA.S.Pollock,M.L.WardA.Generalized equation for predicting body density of women. Medicine and Science Sport and Exercise. 1980; 12. 175 182.

Pollock, M.L. Schmidt D.H. Jackson A.S. Measurement of cardio respiratory fitness and body composition in the clinical setting. Compr. Ther. 1980; 6: 12 2731JacksonA.S,PollockM.L.Practical

Downloads

Published

2015-12-22

How to Cite

Ojo, O. A., Ayodele, O. T., & Solomon, A. (2015). Skinfold Parameter as Predictor of Body Density for Undergraduate Female Students in a Nigeria University. The Nigerian Health Journal, 13(1), 40. https://doi.org/10.60787/tnhj.v13i1.153
Abtract Views | PDF Download | EPUB Download: 878 / 55

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.